{"id":"W2596737653","doi":"","title":"Towards a Greener Greenbelt for Sustainable Communities","year":2013,"lang":"en","type":"article","venue":"Journal of Advanced Science and Engineering Research","topic":"Land Use and Ecosystem Services","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Urban sprawl; Environmental planning; Recreation; Sustainable development; Business; Sustainable community; Sustainability; SAFER; Context (archaeology); Environmental resource management; Urban planning; Environmental protection; Geography; Civil engineering; Political science; Environmental science; Engineering; Ecology; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002198334,0.0003903576,0.0002632421,0.001844999,0.003582052,0.00797629,0.0009160431,0.002362791,0.006315184],"category_scores_gemma":[0.001477048,0.000209185,0.0003257248,0.001304068,0.004114522,0.004728354,0.003881673,0.001917585,0.001107308],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006967328,"about_ca_system_score_gemma":0.01324645,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03027253,"about_ca_topic_score_gemma":0.105499,"domain_scores_codex":[0.9985369,0.0003768262,0.0000257982,0.0001530974,0.0006502175,0.0002571099],"domain_scores_gemma":[0.9988322,0.0001252641,0.0001259916,0.00007449637,0.000492635,0.0003495068],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006913872,0.0004330876,0.02135157,0.0008717774,0.0000478406,0.0008606847,0.03086092,0.005559881,0.01070397,0.6671786,0.03844655,0.223616],"study_design_scores_gemma":[0.00001102214,0.00006095293,0.01703896,0.0005654843,0.0000146104,0.0002371471,0.03793678,0.001716621,0.002175214,0.1384102,0.8017953,0.00003777456],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3627674,0.01280827,0.1145716,0.1063385,0.0008168694,0.0004277552,0.0003869952,0.0005178527,0.4013647],"genre_scores_gemma":[0.7670116,0.00578879,0.1265188,0.004957431,0.0001027863,0.0001779276,0.0002427369,0.0002162342,0.09498373],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03027253,"threshold_uncertainty_score":0.06019264,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02265306194102932,"score_gpt":0.291249883941343,"score_spread":0.2685968220003137,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}